Some stylistic improvements
Browse files
app.py
CHANGED
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@@ -15,8 +15,11 @@ import pandas as pd
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from sklearn.metrics import accuracy_score, f1_score, recall_score, precision_score
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-
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with tab1:
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# Load the labels
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dataset_name = os.environ["DATASET_NAME"]
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@@ -115,7 +118,12 @@ with tab2:
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"Description": inference_functions_docstring,
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}
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)
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st.
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if model_name:
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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@@ -152,3 +160,48 @@ with tab2:
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)
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st.toast(f"Inference completed!")
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from sklearn.metrics import accuracy_score, f1_score, recall_score, precision_score
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st.title("NADI 2024 Leaderboard")
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MARKDOWN_TEXT = """TODO"""
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st.markdown(MARKDOWN_TEXT)
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tab1, tab2 = st.tabs(["Leaderboard", "Submit a Model"])
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with tab1:
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# Load the labels
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dataset_name = os.environ["DATASET_NAME"]
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"Description": inference_functions_docstring,
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}
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)
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with st.expander("Check the inference methods' short descriptions"):
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st.data_editor(inference_functions_df, hide_index=True)
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st.write(
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"Note: We are happy to discuss adding new custom inference methods for your models."
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)
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if model_name:
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tokenizer = AutoTokenizer.from_pretrained(model_name)
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)
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st.toast(f"Inference completed!")
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with st.expander("Cite this leaderboard:"):
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st.write(
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"""
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Please cite the following paper in which we introduced the NADI 2024 evaluation sets:
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```
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@inproceedings{abdul-mageed-etal-2024-nadi,
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title = "{NADI} 2024: The Fifth Nuanced {A}rabic Dialect Identification Shared Task",
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author = "Abdul-Mageed, Muhammad and
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Keleg, Amr and
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Elmadany, AbdelRahim and
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Zhang, Chiyu and
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Hamed, Injy and
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Magdy, Walid and
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Bouamor, Houda and
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Habash, Nizar",
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editor = "Habash, Nizar and
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Bouamor, Houda and
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Eskander, Ramy and
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Tomeh, Nadi and
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Abu Farha, Ibrahim and
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Abdelali, Ahmed and
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Touileb, Samia and
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Hamed, Injy and
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Onaizan, Yaser and
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Alhafni, Bashar and
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Antoun, Wissam and
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Khalifa, Salam and
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Haddad, Hatem and
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Zitouni, Imed and
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AlKhamissi, Badr and
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Almatham, Rawan and
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Mrini, Khalil",
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booktitle = "Proceedings of The Second Arabic Natural Language Processing Conference",
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month = aug,
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year = "2024",
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address = "Bangkok, Thailand",
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publisher = "Association for Computational Linguistics",
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url = "https://aclanthology.org/2024.arabicnlp-1.79",
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doi = "10.18653/v1/2024.arabicnlp-1.79",
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pages = "709--728",
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}
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```
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"""
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)
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